ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.06973
  4. Cited By
A semi-supervised sparse K-Means algorithm

A semi-supervised sparse K-Means algorithm

16 March 2020
Avgoustinos Vouros
Eleni Vasilaki
ArXivPDFHTML

Papers citing "A semi-supervised sparse K-Means algorithm"

4 / 4 papers shown
Title
Semi-supervised Clustering with Two Types of Background Knowledge:
  Fusing Pairwise Constraints and Monotonicity Constraints
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints
Germán González-Almagro
Juan-Luis Suárez
Pablo Sánchez-Bermejo
J. Cano
Salvador García
11
4
0
25 Feb 2023
A Bibliographic View on Constrained Clustering
A Bibliographic View on Constrained Clustering
L. Kuncheva
F. Williams
Samuel L. Hennessey
18
1
0
22 Sep 2022
An empirical comparison between stochastic and deterministic centroid
  initialisation for K-Means variations
An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations
Avgoustinos Vouros
S. Langdell
Mike Croucher
Eleni Vasilaki
10
25
0
26 Aug 2019
Penalized model-based clustering with cluster-specific diagonal
  covariance matrices and grouped variables
Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables
Benhuai Xie
Wei Pan
Xiaotong Shen
94
80
0
21 Feb 2008
1